root
90 lines
3.2 KiB
Python
90 lines
3.2 KiB
Python
from sqlalchemy import Column, Integer, String, Float, Boolean, DateTime, Text, ARRAY
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from sqlalchemy.dialects.postgresql import UUID, JSONB
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from sqlalchemy.sql import func
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import uuid
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from database import Base
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class Case(Base):
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"""Unified case model - combines search case and result"""
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__tablename__ = "cases"
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id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
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created_at = Column(DateTime, server_default=func.now())
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status = Column(String(20), default='active') # active/closed/archived
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# Ребёнок
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child_name = Column(String(255))
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age_years = Column(Integer, nullable=False)
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gender = Column(String(1)) # М / Ж
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clothes_description = Column(Text)
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special_marks = Column(Text)
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phone_status = Column(String(20)) # answers/silent/none
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# Здоровье
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has_diagnosis = Column(Boolean, default=False)
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diagnosis_type = Column(ARRAY(String)) # РАС, эпилепсия, СДВГ, ЗПР...
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fitness_level = Column(String(20)) # low/medium/high
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has_transport = Column(String(20), default='none') # none/bike/scooter/other
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cant_swim = Column(Boolean, default=False)
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# Психотип
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psychotype = Column(String(50)) # dominant/harmonic/anxious/...
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psychotype_answers = Column(JSONB) # сырые ответы на 4 вопроса
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# Обстоятельства
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loss_reason = Column(String(100))
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loss_time = Column(DateTime)
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elapsed_hours = Column(Float)
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last_seen_direction = Column(String(10))
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last_seen_reliability = Column(String(20)) # exact/approx/unknown
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last_seen_description = Column(Text)
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behavior_description = Column(Text)
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familiar_places = Column(Text)
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lost_before = Column(String(20)) # yes/no/unknown
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# Среда
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season = Column(String(20))
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temperature_c = Column(Float)
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precipitation = Column(String(20))
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visibility = Column(String(20))
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wind = Column(String(20))
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terrain = Column(ARRAY(String))
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# GPS
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tnp_lat = Column(Float)
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tnp_lon = Column(Float)
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tnp_address = Column(Text)
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# Ресурсы
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teams_count = Column(Integer)
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team_size = Column(Integer)
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has_dog = Column(Boolean, default=False)
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extra_resources = Column(ARRAY(String)) # drone/helicopter/boat/thermal
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# Исход (заполняется после завершения)
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found_alive = Column(Boolean)
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found_distance_km = Column(Float)
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found_direction = Column(String(10))
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found_location_type = Column(String(50)) # forest/road/building/water/field
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found_lat = Column(Float)
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found_lon = Column(Float)
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search_duration_hours = Column(Float)
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who_found = Column(String(50)) # mchs/mvd/volunteers/self
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# Мета
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confidence_avg = Column(Float)
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raw_text = Column(Text)
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analysis_log = Column(JSONB)
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class RawDocument(Base):
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"""Raw document storage for parsed reports"""
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__tablename__ = "raw_documents"
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id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
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filename = Column(String(255), nullable=False)
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raw_text = Column(Text)
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extracted_json = Column(JSONB)
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created_at = Column(DateTime, server_default=func.now())
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